Senior Research Investigator

Job Description:
We are seeking a highly motivated bioinformatician with academic and/or industry experience to join our Integrated Translational Bioinformatics team with a focus on Cardiovascular/Fibrosis/Immunology team. This bioinformatics group has a systems biology mandate to perform pathway, network and other meta-analysis of the relevant collection of internal and external omic data. The overriding goal is to address defined translational questions of fundamental importance to the fields of heart failure, fibrosis and immunological diseases such as defining patient populations, surrogate markers, drug repositioning and defining effective drug combinations in order to generate actionable scientific insights, hypotheses, and recommendations for stakeholders across the enterprise. The candidate is expected to be able to integrate multi-omic data from preclinical data or clinical trials as well as literature-based evidence to understand disease pathogenesis

Responsibilities;

• Analysis of various omic-scale data including RNA-Seq, Exome and Whole Genome Sequencing, single cell sequencing, and high throughput proteomics or metabolomics in order to nominate novel drug targets, enhance mode-of-action understanding, enable patient enrichment strategies and prioritize combination therapies.
• Integration and mining of public data sets to further enhance our understanding of the factors influencing disease development.
• Evaluate and analyze exploratory omics data from clinical trials to understand drug mechanisms, patient response and develop translational biomarkers.
• Extract insights and generate hypotheses to be evaluated in future trials and discovery experiments to inform our clinical strategies and discovery pipeline.
• Collaborate with bioinformaticians, statisticians, biologists, and clinicians to identify critical questions that can be addressed via computational approaches.
• Design, lead, and manage complex computational research projects.
• Help define our bioinformatics strategy to derive actionable knowledge by combing data and analysis over the whole portfolio of existing public and BMS proprietary omics data.

• Ph.D. in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or a similar discipline with 5 years of industry or academic experience.
• Proven track record designing, leading, and managing complex computational research projects.
• Experience working in complex, matrixed organizations expected; experience leading projects in a matrixed environment preferred.
• Strong background in omic (RNA, DNA, epigenetic, proteomic) data analysis and biological interpretation.
• Solid background in at least one biology area including fibrosis, heart failure and immunology.
• The ability to work across organizations to define and solve problems that will benefit the whole.Capable of establishing strong working relationships across the organization.
• Ability to communicate effectively with biologists, biostatisticians and computational scientists.
• Proficiency using R and Bioconductor packages, at least one scripting language (e.g. Python, Perl), and database experience.
• Experience working within a Linux high performance compute clusters and/or cloud-based computing platforms (Amazon EC2).
• Working knowledge of publicly available biological databases including NCBI, Ensembl, dbGAP, GEO, SRA, etc.
• Experience working with clinical trial data is a plus.
• Strong verbal and written communication skills, with the ability to analyze and present data in a clear professional format to computational, bench, and clinical scientists.
• Experience working with thought leaders and leading scientific collaborations is essential.

Requeriments :

• Doctorate Degree

Skills :

• Bioinformatics Databases
• Biology
• Lunix/Unix
• Programing in Python
• Programming in PERL
• Programming in R
• RNA-seq

Areas :

• Bioinformatics

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